{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "from ggplot import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<ggplot: (285189981)>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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pYDKZEBQUhOXLlwMAXFxc8MEHH+D999/Hzp07MXnyZAQFBWHNmjVWfieW4ZQYIiIiIhp2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\nYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11033b590>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ggplot(mpg, aes(x='cty', y='hwy', shape='trans')) + \\\n",
    "    geom_point() + \\\n",
    "    geom_hline(y=25)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
